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العنوان
Phenotypic and genotypic trends for
body weights traits in Romanov sheep /
المؤلف
Elkasaa, Ebtsam Fetouh Ahmed.
هيئة الاعداد
باحث / ابتسام فتوح احمد القصاص
مشرف / عادل صلاح خطاب
مشرف / محمود عبد المؤمن سلامه
مشرف / شيماء محمد الكومى
مشرف / لا يوجد
الموضوع
Animal Production.
تاريخ النشر
2018.
عدد الصفحات
p 116. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
علم الحيوان والطب البيطري
تاريخ الإجازة
10/12/2018
مكان الإجازة
جامعة طنطا - كلية الزراعة - انتاج الحيوان
الفهرس
Only 14 pages are availabe for public view

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Abstract

Data on 820 Romanov lambs progeny of 30 sires collected during the period from 1995 to
2005 were used in this study. Lambs traits studied were birth weight(BW) body weight at one month (BW1), body weight at two months (BW2), weaning weight at three month (WW) and average daily gain from birth to weaning (ADG). Data were analysis by using mixed model.Means of BW, Bw1, BW2, WW and ADG were 2.90 kg, 7.10 kg, 10.50 kg, 13.02 kg and
115.50 g., respectively. Sire of lambs,ewes within sires had a highly significant effect on all traits. Season and year of lambing, type of birth and sex had a significant effect on all studied traits, except the effect of year of lambing on BW and type of birth on Bw1 and WW. Also,inbreeding coefficients had a highly significant effect on all body weight traits studied and decreased as inbreeding coefficient increased. Two animal models were used. Model 1
includes the fixed effects of season and year of lambing, type of birth and sex and random effects of direct genetic effect, permanent environmental effect and residual effect. Model 2,
is similar to model 1 and added maternal genetic effect and covariance between direct and maternal genetic effect. Estimates of direct heritability for body weights traits ranged from
0.17 to 0.39 for model 1 and ranged from 0.13 to 0.29 for model 2. The removal of additive maternal effects and covariance between direct and maternal genetic effects(model 1)increased estimates of direct heritability. Therefore, including maternal effects in the model resulted in more accurate estimation of(co)variance and genetic parameters of growth traits.Estimates of phenotypic and genetic correlations among growth traits studied were positive and highly significant. While, annual phenotypic and genetic trends for body weights traits were negative